Bring Conversational Commerce
to Pydantic AI
Learn how to connect TextYess to Pydantic AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the TextYess MCP Server?
Connect your TextYess account to any AI agent and simplify how you manage your AI-driven sales, WhatsApp marketing campaigns, and conversational commerce analytics through natural conversation.
What you can do
- Campaign Management — List all WhatsApp marketing campaigns and retrieve detailed analytics including opens, clicks, and revenue.
- Order Tracking — Monitor conversational commerce sales by listing all orders processed through AI agents or campaigns.
- Product Sync Oversight — List and inspect products synced from your e-commerce platform (Shopify, etc.) to your TextYess catalog.
- Agent Interaction Monitoring — List and review recent customer conversations with your AI shopping agent to ensure quality.
- Integration Control — List connected e-commerce platforms and verify active webhooks for product and order sync.
- Organizational Insights — Retrieve metadata for your organization and user profile directly from the agent.
How it works
1. Subscribe to this server
2. Enter your TextYess API Key (found in your account dashboard)
3. Start managing your conversational commerce from Claude, Cursor, or any MCP client
Who is this for?
- E-commerce Managers — quickly check campaign revenue and monitor product stock levels via simple AI commands.
- Marketing Teams — analyze WhatsApp broadcast performance and verify conversion rates directly from the workspace.
- Business Owners — get instant bird's-eye views of conversational sales and AI agent interactions via the AI assistant.
Built-in capabilities (12)
Get analytics for a specific campaign
List orders generated by a campaign
Check campaigns deliverability
Get authenticated user profile
Get organization information
Get details for a specific product
List AI agent interactions
List all conversational commerce orders
List active webhooks
List connected e-commerce platforms
List WhatsApp marketing campaigns
List all synced products
Why Pydantic AI?
Pydantic AI validates every TextYess tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your TextYess integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your TextYess connection logic from agent behavior for testable, maintainable code
TextYess in Pydantic AI
TextYess and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect TextYess to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for TextYess in Pydantic AI
The TextYess MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
TextYess for Pydantic AI
Every tool call from Pydantic AI to the TextYess MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see how much revenue a specific WhatsApp campaign generated?
Yes! Use the get_campaign_analytics tool and provide the Campaign ID. Your agent will retrieve detailed performance metrics including total revenue and number of orders.
How do I check the stock level for a product in my TextYess catalog?
Run the get_product_details query with your Product ID. The agent will retrieve the complete metadata, including current stock status synced from your e-commerce platform.
Is it possible to monitor recent interactions between customers and the AI agent?
Absolutely. Use the list_ai_conversations query. The agent will retrieve a log of recent interactions, allowing you to monitor the quality and flow of your conversational sales.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your TextYess MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai